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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 960
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    Explanations

    occurrences of the word "major" related to significant events or developments

    oai_token-act-pair · gpt-3.5-turbo

    references to significant events or issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mates
    -0.89
    mate
    -0.83
    ilk
    -0.78
    mons
    -0.70
    nery
    -0.67
    iky
    -0.67
    aunting
    -0.67
    elf
    -0.67
    env
    -0.65
    seekers
    -0.65
    POSITIVE LOGITS
    itarian
    1.14
     depressive
    1.09
     breakthrough
    0.90
     arteries
    0.86
     chunk
    0.84
     contributor
    0.81
     league
    0.80
     thorough
    0.80
    itized
    0.80
     milestone
    0.79
    Activations Density 0.042%

    No Known Activations